基于盘铣加工钛合金表面残余应力的工艺参数优化  

Parameters optimization on surface residual stress for titanium alloy based on disk milling process

作　　者：黄天然[1] 史耀耀[1] 辛红敏[1] 

机构地区：[1]西北工业大学现代设计与集成制造技术教育部重点实验室,陕西西安710072

出　　处：《计算机集成制造系统》2015年第9期2403-2409,共7页Computer Integrated Manufacturing Systems

基　　金：国家高档数控机床与基础制造装备科技重大专项资助项目(2013ZX04001081)~~

摘　　要：为探索低速盘铣钛合金时铣削参数与加工表面残余应力的关系,设计完成了铣削速度、切削深度、进给速度三因素三水平的正交实验。实验结果表明,在所选用切削参数范围内,已加工表面残余应力均表现为压应力,铣削速度的变化对其影响最显著,进给速度次之,切削深度影响最小。提出将支持向量机回归技术应用于工艺参数优化,建立了盘铣加工钛合金表面残余应力的支持向量机模型,并通过实验以及与指数型回归经验模型的对比,验证了该方法的实用性和合理性。To reveal the influence of milling parameters on residual stresses in the process of titanium alloy＇s disk milling, the orthogonal experiments consisted of three factors and three levels were designed. The relationships be- tween milling speed, milling depth, feed speed and residual stresses were established, and the influence mechanisms were analyzed. The results showed that the surface residual stress of workpiece was compressive stress, and the milling speed had the greatest influence on residual stress, followed by the feed speed, and the milling depth had no significant effect. Moreover, Support Vector Machine （SVM） modeling technique was used for prediction of the surface residual stress to optimize the disk milling parameters with the results obtained from the experiments. The empirical exponential regression model was achieved and additional milling experiments were completed to validate SVM approach.

关 键 词：钛合金 盘铣 残余应力 工艺参数优化 正交实验 支持向量机 

分 类 号：TH162[机械工程—机械制造及自动化]